While AI and other digital advances in manufacturing are happening at breakneck speed, the gap between adopters and laggards is widening.
Constant evolution is nothing new for manufacturing. But for years, the industry’s model had been somewhat predictable: Scale, efficiency and repeatability defined success, supported by stable demand, linear supply chains and manual processes that evolved slowly over time. Today, there is nothing slow, or certain, about industrial products manufacturing. AI, advanced analytics and digital manufacturing advances are rapidly reshaping how products are designed, produced and delivered, while volatility across the value chain has become the norm. For manufacturers, this shift creates real opportunity — new ways to innovate, scale more intelligently and strengthen manufacturing operations from design through service.
In reality, progress remains uneven. The 2026 EY Industrial Innovation and Transformation Index shows that only 19% of industrial companies are true leaders in transformation, using AI in manufacturing and modern supply chain management to drive tangible performance gains. Nearly half, 48%, are still navigating partial change — modernizing systems or piloting digital tools without fully integrating digital operations across the enterprise. And 34% lag significantly, many constrained by legacy technology, siloed data and growing operational risk. The result is a widening gap between high‑performing industrial organizations and those struggling to keep pace.